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--- |
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language: en |
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license: apache-2.0 |
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pipeline_tag: image-segmentation |
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library_name: transformers |
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tags: |
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- layer decomposition |
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- image segmentation |
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- image matting |
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- design |
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--- |
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## LayerD BiRefNet Matting Module |
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<div align="left"> |
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[](https://arxiv.org/abs/2509.25134) |
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<a href='https://cyberagentailab.github.io/LayerD/'><img src='https://img.shields.io/badge/Project-Page-Green'></a> |
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</div> |
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This repository contains the code and model weights for the matting module in [LayerD [ICCV'25]](https://arxiv.org/abs/2509.25134), a layer decomposition framework for graphic design images. |
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The model in this repository is **intended to be used as a part of the original [LayerD github repository](https://github.com/CyberAgentAILab/LayerD)**. |
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Please visit https://github.com/CyberAgentAILab/LayerD for more information. |
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The model architecture code is based on the [BiRefNet repository](https://huggingface.co/ZhengPeng7/BiRefNet). We thank the authors for releasing their high-quality matting model. |
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### Usage |
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This repository is intended for use with LayerD, so we recommend following the instructions in the [LayerD repository](https://github.com/CyberAgentAILab/LayerD). |
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For reference, the original LayerD uses this model as follows: |
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```python |
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from transformers import AutoModelForImageSegmentation |
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birefnet = AutoModelForImageSegmentation.from_pretrained('cyberagent/layerd-birefnet', trust_remote_code=True) |
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``` |
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### License |
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This repository is released under the Apache-2.0 license, the same as [the LayerD repository](https://github.com/CyberAgentAILab/LayerD/blob/main/LICENSE). |
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The original BiRefNet is released under the [MIT license](https://huggingface.co/ZhengPeng7/BiRefNet/blob/main/README.md). |
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### Citation |
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```bibtex |
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@inproceedings{suzuki2025layerd, |
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title={LayerD: Decomposing Raster Graphic Designs into Layers}, |
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author={Suzuki, Tomoyuki and Liu, Kang-Jun and Inoue, Naoto and Yamaguchi, Kota}, |
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booktitle={ICCV}, |
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year={2025} |
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} |
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``` |